Ireland's AI in Science Summit is scheduled for Dublin on 15–16 October, bringing the discussion of artificial intelligence back to a specific question: how can it improve scientific research in ways that other researchers can scrutinise and use? The event is coordinated by University College Dublin and Research Ireland within Ireland's EU presidency programme. [1]

The presidency describes AIS26 as a forum for implementing the European Strategy on AI in Science. Its remit includes the research methods, infrastructure, policy and investment needed for adoption, with collaboration across disciplines and beyond the EU. The published programme sets out intended discussions; it does not by itself demonstrate that a scientific breakthrough or new award has occurred. [1]

What researchers can follow

EGI, which is participating through the SCIANCE project, lists sessions on the development of RAISE and on data infrastructure for AI. RAISE stands for Resource for AI Science in Europe. The programme also includes an information desk and a workshop on open science and trustworthy AI. Researchers should use the current session information and registration conditions for access rather than assuming that every workshop is open without booking. [2]

These strands highlight a practical distinction for Irish teams: having a promising AI model is different from having a dependable research workflow. In assessing a proposed tool, useful questions include where its input data came from, who may use those data, how the result is checked and whether another team can reproduce the method. A convincing demonstration is a starting point for those questions, not an answer to all of them.

A route to contribute beyond the venue

The RAISE Community Challenge Lab invites discussion of real obstacles in AI-enabled research. Its published description allows participation through the RAISE Forum for people who are not at AIS26. The organisers say the work will feed into the Strategic Research and Innovation Agenda. That is a planned input to future work, rather than a completed policy decision. [3]

For an Irish research group, a useful contribution would be a clearly described bottleneck: which stage of the project is affected, what access or expertise is missing and how an improvement could be assessed. That provides something more useful to a research agenda than a general request for more AI.

How to read the announcements

As summit material appears, separate three kinds of development: a resource becoming available, a proposed research priority, and a funded project with stated conditions. Record the responsible organisation, eligibility and next step before treating any announcement as an opportunity for your team.

The immediate Irish value lies in understanding the available routes and examining the evidence behind them. This article previews the published arrangements and themes; it does not report from inside the summit or claim that the scheduled sessions have produced results.